Myanmar Handwriting Recognition

AI-powered deep learning system for recognizing and classifying handwritten Burmese characters.

Key Highlights

• ◆Custom CNN trained on Burmese handwriting dataset
• ◆Handles complex script variations and ligatures
• ◆Preprocessing pipeline for real-world noisy image
• ◆Exportable inference API for downstream integration

Overview

An end-to-end deep learning pipeline for recognizing handwritten Burmese script - one of the most complex writing systems in Southeast Asia. Addresses the significant lack of high-quality tooling for Burmese character recognition by training a CNN on a purpose-built dataset. The system handles multi-class character classification with preprocessing for noisy real-world image.

Features

• –CNN-based character classifier trained on Burmese handwriting
• –Multi-class output covering the full Burmese character set
• –Image preprocessing pipeline (denoising, binarization, segmentation)
• –Handles complex ligatures and stacked character forms
• –Exportable model for inference API integration

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